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Statistical parametric mapping (SPM)

Flandin, G; Friston, KJ; (2008) Statistical parametric mapping (SPM). Scholarpedia , 3 (4) , Article 6232. 10.4249/scholarpedia.6232. Green open access

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Abstract

Statistical parametric mapping is the application of Random Field Theory to make inferences about the topological features of statistical processes that are continuous functions of space or time. It is usually used to identify regionally specific effects (e.g., brain activations) in neuroimaging data to characterize functional anatomy and disease-related changes.

Type: Article
Title: Statistical parametric mapping (SPM)
Open access status: An open access version is available from UCL Discovery
DOI: 10.4249/scholarpedia.6232
Publisher version: http://dx.doi.org/10.4249/scholarpedia.6232
Language: English
Additional information: "Statistical parametric mapping (SPM)" by Guillaume Flandin and Karl J. Friston is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License (http://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US). Permissions beyond the scope of this license are described in the Terms of Use (http://www.scholarpedia.org/article/Scholarpedia:Terms_of_use).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/1305044
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